Turkiye Klinikleri Journal of Dental Sciences

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Diş Hekimliği Öğrencilerinin Oral Radyolojide Yapay Zekâ Kullanımına Bakış Açısı: Anket Çalışması: Kesitsel Araştırma The Perspective of Dental Students on the Use of Artificial Intelligence in Oral Radiology: A Survey Study: Cross-Sectional Study
The Perspective of Dental Students on the Use of Artificial Intelligence in Oral Radiology: A Survey Study: Cross-Sectional Study
Melek TAŞSÖKERa, Mehmet AKYÜZa
aNecmettin Erbakan Üniversitesi Diş Hekimliği Fakültesi, Ağız, Diş ve Çene Radyolojisi ABD, Konya, Türkiye
Turkiye Klinikleri J Dental Sci. 2022;28(4):778-83
doi: 10.5336/dentalsci.2022-88041
Article Language: TR
Full Text
ÖZET
 Amaç: Bu çalışmanın amacı, diş hekimliği öğrencilerinin oral radyolojide yapay zekâ kullanımına bakış açılarını değerlendirmektir. Gereç ve Yöntemler: Oral radyolojide yapay zekânın kullanımı ve geleceği ile ilgili 17 soru ve 4 bölümden oluşan bir anket hazırlandı. İlk bölümde katılımcıların yaş, cinsiyet ve öğrenim görülen sınıf bilgileri elde edilmiştir. İkinci bölüm yapay zekâ farkındalığının, 3. Bölüm yapay zekânın oral radyolojideki potansiyel uygulamalarının, 4. Bölüm ise oral radyolojide yapay zekâ kullanımına ilişkin bakış açısının değerlendirildiği sorulardan oluşmaktaydı. Katılımcıların yanıtlarını 5'li Likert ölçeği ile (kesinlikle katılmıyorum, katılmıyorum, fikrim yok, katılıyorum, kesinlikle katılıyorum) değerlendirmeleri istendi. Anket Google Form üzerinden 1 hafta süre ile erişime açık tutuldu. Verilerin analizi için SPSS V.21 yazılımı (IBM Corp., Armonk, NY, ABD) kullanıldı. Bulgular: Ankete, yaşları 18-30 arasında değişen 259 diş hekimliği öğrencisi katıldı. Katılımcıların 214'ü (%82,9) gelecekte yapay zekâ ile tanı konulması konusunda olumlu yanıt (katılıyorum+kesinlikle katılıyorum) verdi. Kadın cinsiyet ve alt sınıfta öğrenim gören öğrencilerde yapay zekâ konusunda farkındalığın düşük olduğu saptandı (p<0,05). Yapay zekâ konusunda en büyük bilgi kaynağının sosyal medya (facebook, instagram vb.) olduğu görüldü. Katılımcıların %65,3'ü lisans, %48,2'si lisansüstü eğitimde yapay zekâ uygulamalarına ilişkin eğitimler verilmesi gerektiğini bildirdi. Sonuç: Diş hekimliği öğrencilerinin yapay zekâ konusunda bilgi sahibi oldukları ve gelecekte yapay zekâdan tanı koyma, tedavi planlama, görüntüleme yöntemi seçimi gibi alanlarda faydalanmak istedikleri görüldü.

Anahtar Kelimeler: Yapay zekâ; oral radyoloji; diş hekimliği öğrencisi
ABSTRACT
 Objective: The aim of this study is to evaluate the perspectives of dental students on the use of artificial intelligence (AI) in oral radiology. Material and Methods: A questionnaire consisting of 17 questions and 4 sections about the use and future of AI in oral radiology was prepared. In the first part, the participants' age, gender and class information were obtained. The second part is the awareness of AI; the 3rd part covers the potential applications of AI in oral radiology; the 4th part consisted of questions evaluating the perspective on the use of AI in oral radiology. Participants were asked to rate their responses on a 5-point Likert scale (strongly disagree, disagree, neutral, agree, strongly agree). The survey was kept open for 1 week on Google Forms. SPSS V.21 software (IBM Corp., Armonk, NY, USA) was used for data analysis. Results: Two hundred and fifty nine dental students aged between 18-30 participated in the survey. Two hundred fourteen (82.9%) of the participants gave a positive answer (agree+strongly agree) about diagnosis with AI in the future. Awareness of AI was found to be low in female gender and lower class students (p<0.05). It has been seen that the biggest source of information on AI is social media (facebook, instagram, etc.). 65.3% of the participants stated that training on AI applications should be given in undergraduate education and 48.2% in graduate education. Conclusion: It has been seen that dentistry students have knowledge about AI and they want to benefit from AI in the future in areas such as diagnosis, treatment planning, and imaging method selection.

Keywords: Artificial intelligence; oral radiology; dental student
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